CV

Education

• B.S. in Data Science and Big Data Technology, Chongqing University, China, 2019-2023
• Ph.D in Computer Science, Virginia Tech, US, 2023 - now

Research experience

• 2021.10 - 2023.08: Undergraduate Research Project, Belief Divergence Theory and Its Application in Multisource Information Fusion
  • Chongqing University, China, advised by Prof. Xiao.
  • Combined convolutional neural networks and evidence theory together with multi-head self-attention mechanisms.
  • Explored the application of divergence in evidence theory to medical problems.

Skills

• Programming Languages
  • Python, Matlab
• Research Tool
  • Origin, Echarts
• Data Analysis and Machine Learning Algorithm

Publications

A novel χ2 divergence for multisource information fusion and its application in pattern classification

Belief χ2 Divergence-Based Dynamical Complexity Analysis for Biological Systems

Belief Kullback-Leibler Divergence-based Dynamical Complexity Analysis for Biological Systems

Multi-channel EEG Signals Classification Via CNN and Multi-head Self-attention on Evidence Theory

Belief Re´nyi Divergence of Divergence and Its Application in Time Series Classification

Talks

Belief χ2 Divergence-Based Dynamical Complexity Analysis for Biological Systems

December 15, 2022

Conference proceedings presentation at ml4cs 2022, Guangzhou, China

Belief Kullback-Leibler Divergence-based Dynamical Complexity Analysis for Biological Systems

December 25, 2022

Conference proceedings presentation at isct 2022, Guangxi, China

Teaching

Teaching Assistant in 2023 Fall

Teaching Assistant in 2024 Spring